Form part of the actuarial team responsible for using data to build analytical models in order to understand the key risks that the business is exposed to and to answer key business questions.

• Develop actuarial or statistical models to aid in decision-making
• Pricing of new benefits or benefit changes
• Short- and long-term financial projections
• Identify appropriate models / algorithms to mine large datasets and develop rich insights into behaviour.
• Identify key trends and interact with business to understand the impact of these trends and identify possible courses of action to mitigate / take advantage of the trends identified.
• Produce regular and ad-hoc experience reports and data analysis and presentations as required
• Mentor, support and train junior analysts
• Assist with data extracts and advanced data analysis essential to the requirements outlined below, as well as communicating the results to a variety of audiences
• Contributing to material required for Product Launch presentations
• Planning and preparing Product Launch presentations
• Preparing ad-hoc presentations and speeches
• Assisting with ad-hoc investigations and analyses including quantifying the financial impact of strategic projects
• Compilation of reports and presentations for the Exco and Board
• Research and analysis to provide insight and solutions to non-standard problems
• Work with executives to execute strategic projects

Qualifications, Experience, Knowledge and Skills

• Matric with Mathematics
• Bachelor of Science degree in Actuarial Science (Honours degree would be advantageous)
• Minimum of 1 – 2 years working experience as an Actuarial Analyst within the Life Insurance industry
• Advanced proficiency in MS Word, MS Excel and MS Outlook and SQL
• Basic to intermediate knowledge in a programming language e.g. Prophet, Python, R
• Advanced experience in Actuarial Modelling, Problem Solving, Data Analysis
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate information simply and effectively
• Above average ability to work with, analyse and communicate findings from data (top-down verbal and written communication)
• A passion for delivering results with a sense of urgency for rapid action
• Excellent time-management skills with the ability to prioritize deliverables and manage stakeholder expectations
• Well-versed in the ability to disaggregate issues and problem-solving
• Excellent attention to detail is a must
• Excellent writing and reporting skills
• Strong communication skills
• Highly analytical and logical Critical thinking
• An interest in analysing large datasets
• Keen to pursue a career outside of a traditional actuarial environment whilst applying actuarial and statistical principles
YD